Objective:To analyze the effect of influenza vaccination on influenza cluster epidemic in primary and secondary schools in Beijing during the 2023-2024 surveillance season and provide evidence for the improvement of influenza vaccination strategies.Methods:The incidence data of influenza cluster epidemic and influenza vaccination coverage in the schools in Beijing during 2023-2024 were collected. Descriptive epidemiological methods were used to analyze cluster epidemic characteristics, and χ2 test was used to compare incidence differences between groups, and OR value and vaccine effectiveness [VE=(1- OR)×100%] were calculated. A negative binomial regression model was used to evaluate the association between school vaccination rates and cluster epidemic risk. Joinpoint regression was used to analyze trends in relative risk ( RR) with increasing vaccination coverage and to determine the optimal vaccination threshold. Results:A total of 126 influenza cluster epidemic were reported in 115 primary and secondary schools in Beijing during 2023-2024 with the median size of 15 case, the average attack rate was 36.26% (2 033/5 607). The epidemics mainly occurred in urban area (70, 55.56%). Primary schools were the main setting (78, 61.90%), and influenza A(H3N2) was the predominant subtype (108, 85.71%). The overall influenza vaccination coverage in the primary and secondary students was 54.26%, while the average vaccination in classes affected by the epidemics was 58.57%. The overall protection rate was 47.62%, the protection rate was higher in primary schools (49.65%) than in secondary schools (46.60%). The protection rates against influenza A(H1N1)pdm09 (80.93%) and influenza B (Victoria lineage) (81.65%) were significantly higher than that against influenza A(H3N2) (44.19%). When school vaccination coverage reached ≥76.00%, the epidemic risk decreased by 52.82%.Conclusions:Even the match between influenza vaccine strains and circulating strains is suboptimal, increasing influenza vaccination coverage in schools can effectively reduce the risk for influenza cluster epidemic. In the future, measures such as policy guidance and public health education should be taken to further improve vaccination coverage, thereby establishing herd immunity and reducing the transmission risk of influenza in schools.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.

Objective To explore the feasibility of using cell-free DNA(cfDNA)in blastocyst fluid for preimplantation embryo aneuploidy.Methods A total of 17 patients undergoing assisted reproductive technology at Taizhou Hospital of Zhejiang from 2023 to 2024.A total of 38 discarded blastocysts were collected.Whole-genome amplification and next-generation sequencing were performed on both blastocyst fluid cfDNA and trophoblast cells.Using the trophoblast cells as reference,the amplification success rates of blastocyst fluid cfDNA were compared.The consistency,specificity,and sensitivity of the detection results were evaluated.Results The success rate of cfDNA amplification in the blastocyst fluid was 78.95％,and that of the trophoblast cells was 90.61％,with a consistency of 57.1％.The sensitivity of cfDNA amplification in the blastocyst fluid was 100％,the specificity was 66.7％,the positive likelihood ratio was 3,and the negative likelihood ratio was 0.Conclusion Blastocyst fluid cfDNA screening can be used as a screening method to exclude chromosomal embryos aneuploidy and can be used for preimplantation embryo selection.

Objective To systematically review the efficacy and safety of tegoprazan in the treatment of gastroesophageal reflux disease(GERD).Methods PubMed,Embase,Web of Science,Cochrane Library,SinoMed,CNKI,VIP,and WanFang Data databases were electronically searched to collect randomized controlled trials(RCTs)on tegoprazan for GERD treatment from inception to January 1,2025.Two researchers independently screened the literature,extracted data and assessed the risk of bias of the included studies.Meta-analysis was performed using RevMan 5.4 software and Stata 16 software.Results A total of 7 RCTs were included,involving 1,329 patients.The results of Meta-analysis showed that there was no statistically significant difference in the overall effective rate between the tegoprazan group and the control group(placebo or proton pump inhibitors)[RR=1.08,95%CI(0.99,1.17),P=0.07].There was also no statistically significant difference in the cure rate between the tegoprazan group and the control group(proton pump inhibitors)[RR=0.99,95%CI(0.96,1.02),P=0.53].Comparing the incidence of treatment-emergent adverse events(TEAE)and serious adverse events(SAE)during treatment between the tegoprazan group and the control group,no statistically significant differences were found[TEAE:RR=0.90,95%CI(0.62,1.32),P=0.60;SAE:RR=0.61,95%CI(0.26,1.48),P=0.28].In terms of specific adverse event,the incidence of abnormal liver function was significantly higher in the tegoprazan group compared to the control group[RR=7.60,95%CI(1.40,42.27),P=0.02],while the incidence of other adverse reactions showed no significant differences(P>0.05).Conclusion Tegoprazan has relatively good overall efficacy and safety in the treatment of GERD,and its efficacy is similar to that of proton pump inhibitors,which can be used as an alternative treatment for proton pump inhibitors.Due to the limited quality and quantity of the included studies,more high-quality RCTs are needed to verify the above conclusion.

ObjectiveTo understand the epidemic characteristics of influenza in Beijing from 2023 to 2024, and to provide a scientific basis for the prevention and control of influenza. MethodsData on influenza-like illness (ILI) from secondary level and above hospitals, etiology surveillance data, and influenza clusters outbreaks data from 2023‒2024 were used to analyze the epidemic trend and pathogenic characteristics of influenza. Furthermore, an influenza comprehensive index was used to categorize the epidemic intensity at the severity level. ResultsA total of 2 065 857 ILI cases were reported in 2023‒2024 epidemic season, and the percentage of ILI was 3.67%. The age group of 5‒14 years accounted for the highest proportion of ILI (30.48%). A total of 41 766 throat swabs from ILI were detected, with a positive rate of 17.28%.A (H3N2) (51.86%) and B Victoria (41.93%) were the most prevalent subtypes of influenza virus. Clustered influenza outbreaks occurred mainly in primary schools (57.78%) and middle schools (35.55%), mainly caused by the influenza A (H3N2) subtype (85.93%). According to the influenza comprehensive index (I), the period of influenza activity and above (I>0.5) lasted for a total of 37 weeks, accounting for 71.15% of the entire influenza season. ConclusionCompared with previous years, the epidemic level of influenza in Beijing was increased in 2023‒2024, and the peak time became earlier. The comprehensive index method can objectively evaluate the level of influenza epidemic and provide suggestions for the future prevention and control of influenza in Beijing.

Objective To evaluate the predictive value of a nomogram model developed by integrating clinical and ultrasound multiparameters for HER-2-positive breast cancer.Methods This study retrospectively enrolled 343 patients with pathologically confirmed breast cancer from three medical centers and randomly divided them into training and validation cohorts.Univariate analysis,LASSO regression,and multivariate logistic regres-sion were conducted on the training set to identify independent prognostic factors and construct a nomogram model.Bootstrap resampling with 1000 iterations was performed to evaluate the model's robustness.Model calibration was assessed using calibration curves and the Hosmer-Lemeshow goodness-of-fit test.Receiver operating characteristic(ROC)curves were generated to evaluate model discrimination,and the area under the curve(AUC)along with other performance metrics were calculated.Decision curve analysis was employed to assess the clinical utility of the model,and the validation cohort was used for external validation.Results Univariate,LASSO,and multivariate regression analyses demonstrated that age,TTP(time to peak),and the presence of a filling defect sign were independent predictors of HER-2-positive breast cancer(all P<0.05).Based on these independent predictors,a nomogram model was constructed.Bootstrap validation with 1,000 resamples indicated that the model's predictive performance was stable.The Hosmer-Lemeshow test confirmed satisfactory model calibration,while the calibration curve illustrated accurate prediction probabilities.The area under the curve(AUC)for the training set was 0.863(95%CI:0.806～0.920),and for the validation set,it was 0.846(95%CI:0.764～0.929),indicating strong discriminative and generalization capabilities.Additionally,the clinical decision curve analysis demonstrated favor-able clinical utility.Conclusion A nomogram model integrating clinical and multimodal ultrasound parameters demonstrates potential utility in predicting HER-2-positive breast cancer.

Objective To conduct a multidimensional and multi-level evaluation of the comprehensive clinical value of empagliflozin in the treatment of type 2 diabetes mellitus.Methods Based on the National Essential Medicines List(2018 Edition),dapagliflozin was selected as the control.A comprehensive clinical evaluation index system was established through literature review,focus group interviews and in-depth expert interviews,encompassing six dimensions:safety,efficacy,economy,suitability,innovation,and accessibility.The Delphi method and hierarchical direct weighting method were used to screen indicators and determine their weights.Evidence for each indicator was collected and integrated both qualitatively and quantitatively through literature research,real-world studies,and pharmacoeconomic evaluations.Experts scored the indicators based on the collected evidence,and a total score for the comprehensive clinical evaluation of empagliflozin was calculated by combining these scores with indicator weights,followed by a comparative analysis with dapagliflozin.Results A comprehensive clinical evaluation of empagliflozin in the treatment of type 2 diabetes mellitus was successfully established,consisting of 6 primary indicators,14 secondary indicators,and 41 tertiary indicators.The overall evaluation score for empagliflozin was 90.35,and 89.47 for dapagliflozin.Conclusion The comprehensive clinical value of empagliflozin in the treatment of type 2 diabetes mellitus is slightly higher than that of dapagliflozin.This finding can serve as a reference for rational clinical drug use and related decision-making.

Objective:To analyze the effect of influenza vaccination on influenza cluster epidemic in primary and secondary schools in Beijing during the 2023-2024 surveillance season and provide evidence for the improvement of influenza vaccination strategies.Methods:The incidence data of influenza cluster epidemic and influenza vaccination coverage in the schools in Beijing during 2023-2024 were collected. Descriptive epidemiological methods were used to analyze cluster epidemic characteristics, and χ2 test was used to compare incidence differences between groups, and OR value and vaccine effectiveness [VE=(1- OR)×100%] were calculated. A negative binomial regression model was used to evaluate the association between school vaccination rates and cluster epidemic risk. Joinpoint regression was used to analyze trends in relative risk ( RR) with increasing vaccination coverage and to determine the optimal vaccination threshold. Results:A total of 126 influenza cluster epidemic were reported in 115 primary and secondary schools in Beijing during 2023-2024 with the median size of 15 case, the average attack rate was 36.26% (2 033/5 607). The epidemics mainly occurred in urban area (70, 55.56%). Primary schools were the main setting (78, 61.90%), and influenza A(H3N2) was the predominant subtype (108, 85.71%). The overall influenza vaccination coverage in the primary and secondary students was 54.26%, while the average vaccination in classes affected by the epidemics was 58.57%. The overall protection rate was 47.62%, the protection rate was higher in primary schools (49.65%) than in secondary schools (46.60%). The protection rates against influenza A(H1N1)pdm09 (80.93%) and influenza B (Victoria lineage) (81.65%) were significantly higher than that against influenza A(H3N2) (44.19%). When school vaccination coverage reached ≥76.00%, the epidemic risk decreased by 52.82%.Conclusions:Even the match between influenza vaccine strains and circulating strains is suboptimal, increasing influenza vaccination coverage in schools can effectively reduce the risk for influenza cluster epidemic. In the future, measures such as policy guidance and public health education should be taken to further improve vaccination coverage, thereby establishing herd immunity and reducing the transmission risk of influenza in schools.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.

Objective To conduct a multidimensional and multi-level evaluation of the comprehensive clinical value of empagliflozin in the treatment of type 2 diabetes mellitus.Methods Based on the National Essential Medicines List(2018 Edition),dapagliflozin was selected as the control.A comprehensive clinical evaluation index system was established through literature review,focus group interviews and in-depth expert interviews,encompassing six dimensions:safety,efficacy,economy,suitability,innovation,and accessibility.The Delphi method and hierarchical direct weighting method were used to screen indicators and determine their weights.Evidence for each indicator was collected and integrated both qualitatively and quantitatively through literature research,real-world studies,and pharmacoeconomic evaluations.Experts scored the indicators based on the collected evidence,and a total score for the comprehensive clinical evaluation of empagliflozin was calculated by combining these scores with indicator weights,followed by a comparative analysis with dapagliflozin.Results A comprehensive clinical evaluation of empagliflozin in the treatment of type 2 diabetes mellitus was successfully established,consisting of 6 primary indicators,14 secondary indicators,and 41 tertiary indicators.The overall evaluation score for empagliflozin was 90.35,and 89.47 for dapagliflozin.Conclusion The comprehensive clinical value of empagliflozin in the treatment of type 2 diabetes mellitus is slightly higher than that of dapagliflozin.This finding can serve as a reference for rational clinical drug use and related decision-making.